2023
Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans
Vickers-Smith R, Justice A, Becker W, Rentsch C, Curtis B, Fernander A, Hartwell E, Ighodaro E, Kember R, Tate J, Kranzler H. Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans. American Journal Of Psychiatry 2023, 180: 426-436. PMID: 37132202, PMCID: PMC10238581, DOI: 10.1176/appi.ajp.21111097.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol consumptionAUD diagnosisHispanic veteransWhite veteransUse disordersPrevalence of AUDAlcohol Use Disorders Identification TestUnhealthy alcohol useICD-10 codesAUDIT-C scoresSelf-reported alcohol consumptionAlcohol-related disordersDiagnosis of AUDDisorders Identification TestMaximum scoreSelf-reported raceElectronic health recordsPrimary outcomeAlcohol consumption levelsPotential confoundersHigh prevalenceMillion Veteran ProgramGreater oddsICD-9Enhanced Identification of Hispanic Ethnicity Using Clinical Data
Ochoa-Allemant P, Tate J, Williams E, Gordon K, Marconi V, Bensley K, Rentsch C, Wang K, Taddei T, Justice A, Cohorts F. Enhanced Identification of Hispanic Ethnicity Using Clinical Data. Medical Care 2023, 61: 200-205. PMID: 36893404, PMCID: PMC10114212, DOI: 10.1097/mlr.0000000000001824.Peer-Reviewed Original ResearchConceptsBurden of diseaseHispanic patientsCountry of birthClinical dataHispanic ethnicityNon-Hispanic white patientsSex-adjusted prevalenceChronic liver diseaseHuman immunodeficiency virusDemographic characteristicsElectronic health record dataHealth careHealth record dataPrevalence of conditionsUS health care systemMedicare administrative dataHealth care systemWhite patientsLiver diseaseImmunodeficiency virusSelf-reported ethnicityHigh prevalenceGastric cancerHepatocellular carcinomaVeteran population
2022
How do we collect good-quality data on race and ethnicity and address the trust gap?
Mathur R, Rentsch C, Venkataraman K, Fatumo S, Jobe M, Angkurawaranon C, Ong S, Wong A, Siddiqui M. How do we collect good-quality data on race and ethnicity and address the trust gap? The Lancet 2022, 400: 2028-2030. PMID: 36502833, DOI: 10.1016/s0140-6736(22)02490-4.Peer-Reviewed Original ResearchAssociation between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform
Wing K, Grint DJ, Mathur R, Gibbs HP, Hickman G, Nightingale E, Schultze A, Forbes H, Nafilyan V, Bhaskaran K, Williamson E, House T, Pellis L, Herrett E, Gautam N, Curtis HJ, Rentsch CT, Wong AYS, MacKenna B, Mehrkar A, Bacon S, Douglas IJ, Evans SJW, Tomlinson L, Goldacre B, Eggo RM. Association between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform. International Journal Of Epidemiology 2022, 51: 1745-1760. PMID: 35962974, PMCID: PMC9384728, DOI: 10.1093/ije/dyac158.Peer-Reviewed Original Research
2021
Ethnic disparities in COVID-19: increased risk of infection or severe disease? – Authors' reply
Mathur R, Rentsch CT, Morton CE, Eggo RM, Bhaskaran K, Tomlinsonn L, Smeeth L, Goldacre B. Ethnic disparities in COVID-19: increased risk of infection or severe disease? – Authors' reply. The Lancet 2021, 398: 390. PMID: 34332682, PMCID: PMC8321432, DOI: 10.1016/s0140-6736(21)01424-0.Peer-Reviewed Original ResearchEthnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform
Mathur R, Rentsch C, Morton C, Hulme W, Schultze A, MacKenna B, Eggo R, Bhaskaran K, Wong A, Williamson E, Forbes H, Wing K, McDonald H, Bates C, Bacon S, Walker A, Evans D, Inglesby P, Mehrkar A, Curtis H, DeVito N, Croker R, Drysdale H, Cockburn J, Parry J, Hester F, Harper S, Douglas I, Tomlinson L, Evans S, Grieve R, Harrison D, Rowan K, Khunti K, Chaturvedi N, Smeeth L, Goldacre B, Collaborative O. Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform. The Lancet 2021, 397: 1711-1724. PMID: 33939953, PMCID: PMC8087292, DOI: 10.1016/s0140-6736(21)00634-6.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionIntensive care unit admissionCOVID-19-related hospitalisationCare unit admissionObservational cohort studyCOVID-19 outcomesOutcomes of interestSouth Asian groupsOpenSAFELY platformICU admissionUnit admissionCohort studyEthnicity groupsMixed ethnicity groupCOVID-19-related hospital admissionsCOVID-19-related ICU admissionEthnic differencesAdverse COVID-19 outcomesMinority ethnic populationsSARS-CoV-2 testingMultivariable Cox regressionRisk of hospitalisationWhite groupPrimary care recordsPrimary care data
2020
Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
King JT, Yoon JS, Rentsch CT, Tate JP, Park LS, Kidwai-Khan F, Skanderson M, Hauser RG, Jacobson DA, Erdos J, Cho K, Ramoni R, Gagnon DR, Justice AC. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. PLOS ONE 2020, 15: e0241825. PMID: 33175863, PMCID: PMC7657526, DOI: 10.1371/journal.pone.0241825.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexVeterans Health AdministrationVACO IndexValidation cohortMedical administrative dataDevelopment cohortSARS-CoV-2 testing resultsMortality indexICD-10 diagnosis codesUS Veterans Health AdministrationSARS-CoV-2 infectionPre-existing medical conditionsCOVID-19 mortality riskPeripheral vascular diseaseCOVID-19 patientsCOVID-19 infectionCOVID-19 mortalitySARS-CoV-2Administrative dataLogistic regression modelsRace/ethnicityCohort subgroupsComorbidity indexOverall mortalityComorbid conditionsPatterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: A nationwide cohort study
Rentsch CT, Kidwai-Khan F, Tate JP, Park LS, King JT, Skanderson M, Hauser RG, Schultze A, Jarvis CI, Holodniy M, Re V, Akgün KM, Crothers K, Taddei TH, Freiberg MS, Justice AC. Patterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: A nationwide cohort study. PLOS Medicine 2020, 17: e1003379. PMID: 32960880, PMCID: PMC7508372, DOI: 10.1371/journal.pmed.1003379.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBetacoronavirusBlack or African AmericanClinical Laboratory TechniquesCohort StudiesCoronavirus InfectionsCOVID-19COVID-19 TestingEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2United StatesVeteransWhite PeopleYoung AdultConceptsCOVID-19 testingRace/ethnicityCohort studyWhite individualsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionAcute respiratory syndrome coronavirus 2 infectionSyndrome coronavirus 2 infectionSARS-CoV-2 infectionCOVID-19Large integrated healthcare systemCoronavirus 2 infectionNationwide cohort studyRetrospective cohort studyCoronavirus disease 2019Site of careIntegrated healthcare systemNon-Hispanic blacksPositive test resultsNon-Hispanic whitesClinical characteristicsMultivariable adjustmentComorbid conditionsMedication historyEthnic minority communitiesDisease 2019